Strong expression of cyclin B2 mRNA correlates with a poor prognosis in patients with non-small cell lung cancer.

Cyclin family proteins act in association with cyclin-dependent kinases (CDK) at cell cycle checkpoints to regulate the eukaryotic cell cycle. CyclinB2 contributes to G2/M transition by activating CDK1 kinase, and cyclin B2 inhibition induces cell cycle arrest. CyclinB2 is overexpressed in various human tumors, though the relationship between cyclin B2 expression and the clinicopathological characteristics of lung cancer and patient prognosis is not well understood. In the present study, therefore, we investigated the relationship between cyclin B2 mRNA expression and the prognosis of patients with non-small cell lung cancer (NSCLC). We used semiquantitative real-time reverse transcription polymerase chain reaction to assess the expression of cyclin B2 mRNA in tumor samples from 79 patients with NSCLC. We then correlated the cyclin B2 mRNA levels with clinicopathological factors. We also used immunohistochemical staining to determine the localization of expressed cyclin B2. The 5-year overall survival rates among patients with adenocarcinoma of lung expressing lower levels of cyclin B2 mRNA were significantly better than the corresponding rates among patients expressing higher levels (p = 0.004). Multivariate Cox proportional hazard analyses revealed that gender ((hazard ratio (HR), 9.81; p = 0.044)), n2 (HR, 146.26; p ≤ 0.001), and cyclin B2 mRNA high (HR, 7.21; p = 0.021) were independent factors affecting the 5-year overall survival rates. However, there was no significance in the 5-year overall survival rates among the patients with squamous cell carcinoma between expressing lower and higher level of cyclin B2 mRNA. Stronger expression of cyclin B2 mRNA in tumor cells is an independent predictor of a poor prognosis in patients with adenocarcinoma of lung.

Elevated cyclin B2 expression in invasive breast carcinoma is associated with unfavorable clinical outcome.

BACKGROUND: Breast cancer is a potentially fatal malignancy in females despite the improvement in therapeutic techniques. The identification of novel molecular signatures is needed for earlier detection, monitoring effects of treatment, and predicting prognosis. We have previously used microarray analysis to identify differentially expressed genes in aggressive breast tumors. The purpose of the present study was to investigate the prognostic value of the candidate biomarkers CCNB2, ASPM, CDCA7, KIAA0101, and SLC27A2 in breast cancer. METHODS: The expression levels and subcellular localization of the CCNB2, ASPM, CDCA7, KIAA0101, and SLC27A2 proteins were measured using immunohistochemistry (IHC) on a panel of 80 primary invasive breast tumors. Furthermore, the mRNA levels of CCNB2, KIAA0101, and SLC27A2 were subsequently examined by qRT-PCR to validate IHC results. Patient disease-specific survival (DSS) was evaluated in correlation to protein levels using the Kaplan-Meier method. Multivariate Cox regression analysis was used to determine the impact of aberrant protein expression of the candidate biomarkers on patient DSS and to estimate the hazard ratio at 8-year follow-up. RESULTS: Elevated cytoplasmic CCNB2 protein levels were strongly associated with short-term disease-specific survival of breast cancer patients (≤ 8 years; P<0.001) and with histological tumor type (P= 0.04). However, no association with other clinicopathological parameters was observed. Multivariate Cox regression analysis specified that CCNB2 protein expression is an independent prognostic marker of DSS in breast cancer. The predictive ability of several classical clinicopathological parameters was improved when used in conjunction with CCNB2 protein expression (C-index = 0.795) in comparison with a model without CCNB2 expression (C-index = 0.698). The protein levels of ASPM, CDCA7, KIAA0101, and SLC27A2 did not correlate with any clinicopathological parameter and had no influence on DSS. However, a significant correlation between the expression of the CCNB2 and ASPM proteins was detected (P = 0.03). CONCLUSION: These findings suggest that cytoplasmic CCNB2 may function as an oncogene and could serve as a potential biomarker of unfavorable prognosis over short-term follow-up in breast cancer.